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Engineering Manager II, Ads ML Training Infrastructure

Pinterest

$200,436 - $350,763
Oct 31, 2025
San Francisco, CA, US • Palo Alto, CA, US • Seattle, WA, US
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Pinterest is one of the fastest growing online advertising platforms. Continued success depends on the machine-learning systems, which crunch thousands of signals in a few hundred milliseconds, to identify the most relevant ads to show to pinners. You’ll join a talented team with high impact, which designs high-performance and efficient ML systems, in order to power the most critical and revenue-generating models at Pinterest.

Requirements

  • 8+ years of relevant industry experience in leading the design of large scale & production ML infra systems and Model Training framework.
  • Deep knowledge with building distributed systems or recommendation infrastructure.
  • Opportunities to use cutting edge ML technologies including GPU, Cuda, Feature Store and LLMs to empower 100x bigger models with more enrichment model features.

Responsibilities

  • Collaborate with stakeholders and partner teams across the organization to architect ads ML Training infrastructure solutions to unlock Pinterest ads models innovations.
  • Mentor engineers to develop their careers and achieve their goals, from early career through senior level, setting the technical vision, guiding the day-to-day execution, as well as fostering good team health and culture.
  • Lead the team to build the next-generation Pinterest Ads ML foundations.
  • Opportunities to use cutting edge ML technologies including GPU, Cuda, Feature Store and LLMs to empower 100x bigger models with more enrichment model features.
  • Act as a stalwart of technical quality and excellence on the team, ensuring the solutions we deliver have a high level of polish and reliability.

Other

  • 2+ years of management experience, or tech lead experiences in 8+ people team (3+ years).
  • Strong cross-functional collaborator and communicator.
  • Strong people development skills. You have helped people grow in their careers.
  • This role will need to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices [SF, PA, SEA,].
  • This position is not eligible for relocation assistance.